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Audio deepfake technology, also referred to as voice cloning or deepfake audio, is an application of artificial intelligence designed to generate speech that convincingly mimics specific individuals, often synthesizing phrases or sentences they have never spoken.
On September 23, 2024, to further the International Decade of Indigenous Languages, Hugging Face teamed up with Meta and UNESCO to launch a new online language translator [14] built on Meta's No Language Left Behind open-source AI model, enabling free text translation across 200 languages, including many low-resource languages.
Voice cloning is a case of the audio deepfake methods that uses artificial intelligence to generate a clone of a person's voice. Voice cloning involves deep learning algorithm that takes in voice recordings of an individual and can synthesize such a voice to the point where it can faithfully replicate a human voice with great accuracy of tone ...
Its speed and accuracy have led many to note that its generated voices sound near-indistinguishable from "real life", provided that sufficient computational specifications and resources (e.g., a powerful GPU and ample RAM) are available when running it locally and that a high-quality voice model is used.
Paying users are given the ability to upload custom voice samples to create new vocal styles using the company's voice cloning tool. [12] Voice Library is the company's feature for sharing unique voice profiles created using their Voice Design technology. These pre-designed voice profiles allow users to select a voice that best suits their ...
Now, through the use of an innovative voice-cloning technology, it is becoming possible for people to “hear” Warren read the decision as he did on May 17, 1954, along with oral arguments by ...